Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/MM05-PC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/MM05-PC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/MM05-PC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/MM05-PC") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/MM05-PC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caa9d0696fd0c279c1885e2d60e88095d135a8a88a66a8b582ac74ca518cce7c
- Size of remote file:
- 4.54 kB
- SHA256:
- 8d94faa29a2732fa0d5dd631e282f2275ee6e4629eddd95115c95391854b5336
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